AI Research Scientist (Local & US Shift/ Hybrid)
Salary undisclosed
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Key Responsibilities:
- Contribute to innovative research projects in AI, focusing on areas such as deep learning, computer vision, and vision-language models.
- Design, develop, and evaluate novel machine learning algorithms and models, ensuring they are scalable and robust for commercial applications.
- Data Analysis and Experimentation: Analyze large datasets to derive insights and validate research hypotheses. Conduct rigorous experiments to evaluate model performance and generalization.
- Stay Current with Industry Trends: Keep abreast of the latest developments in AI research and technology, evaluating their potential impact on the company’s products and services.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on computer vision or vision-language models.
- Strong theoretical background in machine learning, encompassing both classical and novel computer vision techniques, as well as expertise in image processing.
- Deep understanding of neural network architectures and proven experience in training them.
- Proficiency in the Python programming language.
- Min 3 years working experience with strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Pandas).
- Excellent problem-solving skills.
- A strong publication record in top-tier conferences and journals in the field of AI or machine learning.
- Experience in a commercial environment is a plus, demonstrating the ability to apply research to practical applications and products
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